---
library_name: transformers
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
- exact_match
model-index:
- name: codet5-base-sql-create-context
  results: []
datasets:
- b-mc2/sql-create-context
pipeline_tag: text2text-generation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# codet5-base-sql-create-context

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0036
- Exact Match: 0.2451
- Rouge2: 0.8839
- Bleu: 75.6780

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | Rouge2 | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:|
| 0.0071        | 1.0   | 7858  | 0.0047          | 0.2360      | 0.8808 | 75.1891 |
| 0.0041        | 2.0   | 15716 | 0.0039          | 0.2393      | 0.8820 | 75.4061 |
| 0.0028        | 3.0   | 23574 | 0.0037          | 0.2447      | 0.8832 | 75.5863 |
| 0.0019        | 4.0   | 31432 | 0.0035          | 0.2469      | 0.8837 | 75.7130 |
| 0.0013        | 5.0   | 39290 | 0.0036          | 0.2451      | 0.8839 | 75.6780 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1